Abstract: Data incompleteness is a serious challenge in real-world machine-learning tasks. Nevertheless, it has not received enough attention in symbolic regression (SR). Data missingness exacerbates ...

Abstract: In this study, we propose quantifying students' learning depth in video programming courses by analyzing their video annotations using natural language processing techniques and Bloom's ...